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NOTE: THIS IS UNOFFICIAL TRANSLATION OF THE DOCUMENT OATEN DIANA. 5/2014 VPN D ANTHONY FILOZOFICK FACULTY UNIVERSITY KARLOFF VE CNN OATEN DIANA. 25/2016 ORIGINAL VERSION (CZECH) IS LEGALLY BINDING.
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01
Identify the specific social media platforms where the data will be collected from.
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Utilize tools such as social listening platforms to gather data from various sources.
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Define the key metrics and data points that are relevant to the analysis.
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Collect and organize the data in a structured format for analysis.
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Apply data analysis techniques to derive insights and trends from the big social data.

Who needs big social data and?

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Marketers who want to understand their target audience and measure the effectiveness of their campaigns.
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Businesses looking to track brand reputation and sentiment on social media.
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Researchers studying social trends and behaviors online.
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Government agencies interested in monitoring public opinion and sentiment on social issues.
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Big social data refers to large sets of data generated from social media platforms and online interactions, which can be analyzed to identify patterns, trends, and insights in social behavior.
Organizations or individuals who operate social media platforms or engage in significant online social interactions may be required to file big social data for regulatory compliance or reporting purposes.
Filling out big social data typically involves collecting relevant data sets, organizing the information according to specified reporting guidelines, and submitting the data through an established reporting system.
The purpose of big social data is to enhance understanding of consumer behavior, improve targeted marketing strategies, and facilitate better decision-making based on social trends and engagement metrics.
Information that must be reported may include user engagement metrics, demographic data, interaction patterns, and content performance analytics.
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